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memory_manager.cc
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// Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of NVIDIA CORPORATION nor the names of its
// contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "memory_manager.h"
#include "pb_utils.h"
namespace triton { namespace backend { namespace python {
#ifdef TRITON_ENABLE_GPU
GPUMemoryRecord::GPUMemoryRecord(void* ptr)
{
ptr_ = ptr;
release_callback_ = [](void* ptr) {
cudaError_t err = cudaFree(ptr);
if (err != cudaSuccess) {
LOG_MESSAGE(
TRITONSERVER_LOG_ERROR,
(std::string("Failed to free the allocated cuda memory. error: ") +
cudaGetErrorString(err))
.c_str());
}
};
}
void*
GPUMemoryRecord::MemoryId()
{
return ptr_;
}
const std::function<void(void*)>&
GPUMemoryRecord::ReleaseCallback()
{
return release_callback_;
}
#endif
MemoryManager::MemoryManager(
std::unique_ptr<MessageQueue<intptr_t>>&& memory_message_queue)
{
message_queue_ = std::move(memory_message_queue);
thread_ = std::thread(&MemoryManager::QueueMonitorThread, this);
}
intptr_t
MemoryManager::AddRecord(std::unique_ptr<MemoryRecord>&& memory_record)
{
std::lock_guard<std::mutex> lock{mu_};
intptr_t memory_record_id =
reinterpret_cast<intptr_t>(memory_record->MemoryId());
records_.emplace(memory_record_id, std::move(memory_record));
return memory_record_id;
}
void
MemoryManager::QueueMonitorThread()
{
while (true) {
intptr_t memory = message_queue_->Pop();
if (memory == 0) {
return;
}
{
std::lock_guard<std::mutex> lock{mu_};
auto it = records_.find(memory);
if (it == records_.end()) {
LOG_MESSAGE(
TRITONSERVER_LOG_ERROR,
"Unexpected memory index received for deallocation.");
continue;
}
// Call the release callback.
it->second->ReleaseCallback()(it->second->MemoryId());
records_.erase(it);
}
}
}
MemoryManager::~MemoryManager()
{
// Push a dummy message that will trigger the destruction of the background
// thread.
message_queue_->Push(DUMMY_MESSAGE);
thread_.join();
}
}}}; // namespace triton::backend::python